LlamaIndex vs Weights & Biases
Weights & Biases leads in package downloads at 2x; Weights & Biases has raised more funding at $250M; Weights & Biases leads in active contributors with 9 (30d); Weights & Biases leads in code adoption with 9.3K repos importing; LlamaIndex leads in job demand with 1 mentions. Updated daily with live metrics.
LlamaIndex: 10.6M downloads/mo (+26%), 47.8K GitHub stars, 1 active contributors, 111 dependents, 1.5K repos importing, $85K funded vs
Weights & Biases: 22.9M downloads/mo (+9%), 10.9K GitHub stars, 9 active contributors, 9.3K repos importing, $250M funded
Source: AI-Buzz Developer Adoption Index (DAI). Updated daily from 12 data sources.
Downloads (30d)
Disclosed Funding
GitHub Stars
Package Dependents
Repos Importing (code adoption)
Momentum (0-100)
Key Differences
For production adoption: Weights & Biases is depended on by 1.9K packages versus 757 for LlamaIndex. Weights & Biases leads in package downloads with 22.9M per month compared to 10.6M for LlamaIndex (Weights & Biases +9% MoM, LlamaIndex +26% MoM). Weights & Biases appears in 9.3K GitHub repositories compared to 1.5K for LlamaIndex.
For growth trajectory: LlamaIndex has 47.8K GitHub stars versus 10.9K for Weights & Biases.
For longevity/risk: Weights & Biases has raised $250M in total disclosed funding, while LlamaIndex has raised $85K. LlamaIndex's most recent round was Seed, while Weights & Biases's most recent round was Strategic Investment. Weights & Biases attracted 9 active contributors in the last 30 days compared to 1 for LlamaIndex. LlamaIndex operates in Foundation Models while Weights & Biases focuses on AI Infrastructure.
Bottom Line
Weights & Biases leads on developer adoption with 22.9M monthly package downloads. LlamaIndex counters with 47.8K GitHub stars, reflecting strong developer awareness. For a deeper look, visit each company's full profile for trend charts, funding rounds, and community sentiment data.
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| Metric | Updated Mar 18 | Updated Mar 18 |
|---|---|---|
| Website | llamaindex.ai → | wandb.ai → |
| Description | Framework for building LLM applications with RAG. Data framework for AI. | ML experiment tracking and model management platform. |
| Total Disclosed Funding Source: Public records / manual researchUpdates: Weekly | $85K | $250M✓ |
| Last Funding | Seed Jun 2023 | Strategic Investment Nov 2023 |
| Developer Adoption | ||
| Momentum | 47Moderate✓ | 43Moderate |
| npm Registry Downloads (30d) Source: npm registryUpdates: DailyNote: Includes all package installations including CI/CD pipelines and mirrors | 442.3K✓ | 0 |
| npm Trend (30d) | - | |
| PyPI Registry Downloads (30d) Source: PyPI (Google BigQuery)Updates: DailyNote: Includes all package installations including CI/CD pipelines and mirrors | 10.2M | 22.9M✓ |
| PyPI Trend (30d) | ||
| Total Downloads (30d) Source: npm + PyPI registriesUpdates: DailyNote: Sum of npm and PyPI; excludes other package managers | 10.6M+26% | 22.9M+9%✓ |
| Active Contributors/Day Source: GitHub APIUpdates: DailyNote: Tracks designated public repos per company, not all company GitHub activity | 1 | 9✓ |
| Contributors Trend | -50% | +200%+ |
| npm Dependents Source: Libraries.io APIUpdates: WeeklyNote: Counts direct and dev dependents | 111✓ | N/A |
| PyPI Dependents Source: Libraries.io APIUpdates: WeeklyNote: Counts direct reverse dependencies from PyPI | 646 | 1.9K✓ |
| Code Adoption (repos) Source: ecosyste.ms Packages APIUpdates: DailyNote: Approximate count; excludes forksExclusive | 1.5K | 9.3K✓ |
| HN Discussion Share Source: Hacker News (Algolia API)Updates: DailyNote: Share of HN mentions within the company's primary category | 0.2% of HN mentions | 0.2% of HN mentions |
| Status | Private | Private |
| HN Mentions (30d) Source: Hacker News (Algolia API)Updates: Daily | 0 | 0 |
| Reddit Mentions (30d) Source: Reddit (search API)Updates: DailyNote: Counts posts/comments mentioning the company by nameExclusive | 2✓ | 2 |
| Job Mentions (30d) Source: Job board aggregationUpdates: DailyNote: Counts job listings mentioning the company's technologyExclusive | 1✓ | 1 |
| GitHub Stars Source: GitHub APIUpdates: DailyNote: Stars are bookmarks — a popularity signal, not a usage indicator | 47.8K✓ | 10.9K |
| Founded | 2022 | 2018 |
| Primary Category | ||
| Data Last Updated | ||
Frequently Asked Questions
- Which has more developer adoption, LlamaIndex or Weights & Biases?
- Weights & Biases has 22.9M package downloads per month, making it the more widely adopted tool among developers.Weights & Biases profile →
- Which has more real-world code adoption, LlamaIndex or Weights & Biases?
- Weights & Biases appears in 9.3K GitHub repositories that import its packages, compared to 1.5K for LlamaIndex. This metric is exclusive to AI-Buzz.How we measure code adoption →
- Which is mentioned more in job listings, LlamaIndex or Weights & Biases?
- LlamaIndex appeared in 1 job listings in the last 30 days, compared to 1 for Weights & Biases. Job mention data is tracked exclusively by AI-Buzz.How we track job mentions →
- Which is growing faster, LlamaIndex or Weights & Biases?
- LlamaIndex has a momentum score of 47/100, indicating moderate growth trajectory. Momentum is calculated from download trends, GitHub activity, and community signals.Developer Adoption Index →
- Which company has more funding, LlamaIndex or Weights & Biases?
- Weights & Biases has raised $250M in total disclosed funding.AI funding data →
Download comparison data
Source: AI-Buzz Developer Adoption Index. Free to use with attribution.
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